Reload Recovery Matrix Grape Berry Crush by NutraBio is a post-workout 'Other Combinations' supplement designed to support recovery. It contains eight ingredients, including Anabolic Growth BCAAs (8g), Muscle Recovery Accelerator (7.5g), Strength & Endurance Matrix (7.1g), and an Electrolyte & Rehydration Optimizer (1.94g), alongside Calcium (60mg), Phosphorus (81mg), Magnesium (40mg), and Sodium (50mg). This product achieved an N+ Score of 48, resulting in an 'F' grade and a below-average tier ranking. While label transparency is 100%, the analysis indicates that Calcium, Phosphorus, and Magnesium are underdosed, and no ingredients meet clinical dose thresholds, impacting its ingredient adequacy score of 0%.
About This Product
Reload Recovery Matrix Grape Berry Crush by NutraBio is a protein supplement containing 8 active ingredients. It has earned an N+ Score of 48/100 (Grade F).
N+ Score Breakdown
Are key ingredients present at clinically effective doses based on research?
Does the product include all expected ingredients for its supplement category?
Are individual ingredient amounts clearly disclosed without proprietary blends?
Does the formula include a breadth of beneficial compounds from multiple pathways?
Strengths
- +Fully transparent label with individual ingredient amounts disclosed
- +Broad ingredient diversity exceeding category norms
Weaknesses
- −Several ingredients below clinically effective doses
- −Missing several expected ingredients for its category
Ingredient Analysis (8 ingredients)
| Ingredient | Amount | Dose Adequacy |
|---|---|---|
| Calcium | 60.000 mg | Under |
| Magnesium | 40.000 mg | Under |
| Sodium | 50.000 mg | N/A |
| Phosphorus | 81.000 mg | Under |
| Anabolic Growth BCAAs | 8.000 Gram(s) | N/A |
| Muscle Recovery Accelerator | 7.500 Gram(s) | N/A |
| Strength & Endurance Matrix | 7.100 Gram(s) | N/A |
| Electrolyte & Rehydration Optimizer | 1.940 Gram(s) | N/A |
Clinical ranges based on NIH ODS Fact Sheets and peer-reviewed research. Status indicates whether the amount meets evidence-based thresholds.